Modeling The Size-Resolved Concentration Distribution Of Indoor Particulate Matter Of Outdoor Origin

Indoor environment is closely related to the health of people and indoor air quality has received high concern because that people averagely spend 90% of their lifetime indoors. Increasing epidemiological studies have reported that particulate matter (PM) is associated with increasing morbidity and mortality, even at the generally low levels that are within related national standards of PM. However, the biological mechanisms of health impact of PM have not been understood, i.e. the exact compounds and/or PM size ranges responsible for the adverse health effects on people have not yet been determined.Because people spend most of their time indoors, and indoor PM concentrations are estimated to be on the same order as outdoor concentrations, indoor environment is the most important place where people exposure to the particulate matter. But few studies are on indoor pollution, especially on the impact of indoor particulate matter on IAQ. Monitoring the indoor environment is time-consuming and expensive. It would be a good solution to set up a mathematical model to predict the concentration of the indoor PM according to the size distribution of outdoor PM parameters from monitoring network in cities.This paper has done a systematic study on this issue. Firstly, existing research, nationally and internationally, on indoor PM of outdoor origin are reviewed. Then existing problem are pointed out and method and content of this research are scheduled. The source and physical and chemical characteristics of PM in indoor environment and the effects on human health are introduced. The controlling methods to reduce the indoor PM were presented. Based on Fick's law and aerodynamic theory, the models of deposition rate and penetration factor were built, respectively. The models were validated with experimental data from literature. Combined the models of deposition rate and penetration factor with the mass balance model, a mathematical size-resolved model for predicting the indoor PM size distribution from outdoor data was proposed. The indoor number, mass and surface area concentration distribution of PM outdoors origin in three representative building types were then illustrated and analyzed. The effects...